Monocular video foreground segmentation system

This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive per-pixel background model is developed to set the data cost of an image graph. Shadow detection which is important to the foreground segmentation is introduced in this paper. A boundary smoothing algorithm is presented so as to eliminate edge aliasing and composite a foreground object onto a new background seamlessly. We verify our algorithm in different video sequences including some public video sequences. Experimental results demonstrate the efficiency of our proposed method.